Case Study: WalkMe achieves real-time, scalable clickstream and user-behavior analytics with Imply

How WalkMe uses Druid and Imply Cloud to Analyze Clickstreams and User Behavior

WalkMe, a pioneer in Digital Adoption Platforms, faced scaling and analytics challenges as their embedded product grew: their Elasticsearch-based stack handled simple log search but couldn’t support real-time OLAP, complex ad-hoc behavioral queries, or high-volume aggregation across many dimensions. To address this, WalkMe evaluated and adopted Druid and partnered with Imply (including Imply Cloud) to find a production-ready, scalable analytics platform.

Imply helped productionalize and operate WalkMe’s Druid cluster, enabling real-time analytics across billions of client devices and powering WalkMe Insights and internal monitoring. Running Druid on Imply gave WalkMe interactive, cost-effective queries (e.g., large cohort and multi-stage user behavior analyses using Bloom filters), linear scalability with traffic, and the ability to compute retention, attrition, segmentation and other business-critical metrics that were previously impractical with Elasticsearch.

WalkMe

Yotam Sturlezi

CPA, Financial Systems Specialist